A new three-parameter extension of the inverse Gaussian distribution

Leiva V.; Sanhueza, A; Silva, A; Galea M.

Abstract

In this article, we introduce a new model that extends the inverse Gaussian distribution. This model is obtained when a parameter is incorporated into the logarithmic inverse Gaussian distribution producing great flexibility for fitting non-negative data. We present a comprehensive treatment of the properties of this model, including a derivation of the analytical shapes of the density, distribution, and hazard functions, as well as the moments. Furthermore, we illustrate the use of this model by means of an example using likelihood methods. We show that the new model presents an excellent fit for the analyzed data. © 2007 Elsevier B.V. All rights reserved.

Más información

Título según WOS: A new three-parameter extension of the inverse Gaussian distribution
Título según SCOPUS: A new three-parameter extension of the inverse Gaussian distribution
Título de la Revista: STATISTICS PROBABILITY LETTERS
Volumen: 78
Número: 11
Editorial: ELSEVIER SCIENCE BV
Fecha de publicación: 2008
Página de inicio: 1266
Página final: 1273
Idioma: English
URL: http://linkinghub.elsevier.com/retrieve/pii/S016771520700404X
DOI:

10.1016/j.spl.2007.11.020

Notas: ISI, SCOPUS